Book Chapters

  1.  L. Girin, S. Gannot, and X. Li, Multi-modal Behavior Analysis in the Wild: Advances and Challenges. Elsevier, ch. Audio source separation into the wild, under edition.
  2. E. Vincent, S. Gannot, and T. Virtanen, Audio Source Separation and Speech Enhancement. Wiley, Sep. 2018, ch. Introduction.
  3. T. Virtanen, E. Vincent, and S. Gannot, Audio Source Separation and Speech Enhancement. Wiley, Sep. 2018, ch. Time-frequency processing Spectral properties.
  4. E. Vincent, S. Gannot, and T. Virtanen, Audio Source Separation and Speech Enhancement. Wiley, Sep. 2018, ch. Acoustics Spatial properties.
  5. E. Vincent, S. Gannot, and T. Virtanen, Audio Source Separation and Speech Enhancement. Wiley, Sep. 2018, ch. Perspectives.
  6. S. Markovich-Golan, W. Kellermann, and S. Gannot, Audio Source Separation and Speech Enhancement. Wiley, Sep. 2018, ch. Spatial filtering.
  7. S. Markovich-Golan, W. Kellermann, and S. Gannot, Audio Source Separation and Speech Enhancement. Wiley, Sep. 2018, ch. Multichannel parameter estimation.
  8. S. Doclo, S. Gannot, D. Marquardt, and E. Hadad, Audio Source Separation and Speech Enhancement. Wiley, Sep. 2018, ch. inaural speech processing with application to hearing devices.
  9. S. Markovich-Golan, S. Gannot, and I. Cohen, Audio Source Separation. Springer, 2018, ch. Multi-microphone MMSE-based speech source separation.
  10. K. Kinoshita, M. Delcroix, S. Gannot, E. A. P. Habets, R. Haeb-Umbach, W. Kellermann, V. Leutnant, R. Maas, T. Nakatani, B. Raj, A. Sehr, and T. Yoshioka, New Era for Robust Speech Recognition: Exploiting Deep Learning. Springer, 2017, ch. REVERB challenge: A benchmark task for reverberation-robust ASR techniques.
  11. R. Talmon, I. Cohen, and S. Gannot, Speech Processing in Modern Communication. Springer, 2010, ch. Identification of the Relative Transfer Function between Sensors in the Short-Time Fourier Transform Domain, pp. 33–47.
  12. E. Habets, J. Benesty, S. Gannot, and I. Cohen, Speech Processing in Modern Communication. Springer, 2010, ch. The MVDR beamformer for speech enhancement, pp. 225–254.
  13. S. Markovich, S. Gannot, and I. Cohen, Speech Processing in Modern Communication. Springer, 2010, ch. Extraction of Desired Speech Signals in Multiple-Speaker Reverberant Noisy Environments, pp. 255–279.
  14. S. Doclo, S. Gannot, M. Moonen, and A. Spriet, Handbook on Array Processing and Sensor Networks. Wiley-IEEE Press, 2010, ch. Acoustic beamforming for hearing aid applications.
  15. S. Gannot, Speech Dereverberation. Springer, 2010, ch. Multi-microphone Speech Dereverberation Using Eigen-decomposition, pp. 129–156.
  16. E. Habets, S. Gannot, and I. Cohen, Topics in Speech and Audio Processing in Adverse Environments. Springer, 2008, ch. Dereverberation and Residual Echo Suppression in Noisy
    Environments, pp. 185–227.
  17. I. Cohen and S. Gannot, Springer Handbook of Speech Processing and Speech Communication. New York: Springer-Verlag, 2007, ch. Spectral enhancement methods.
  18. S. Gannot and I. Cohen, Springer Handbook of Speech Processing and Speech Communication. New York: Springer-Verlag, 2007, ch. Adaptive beamforming and postfiltering.
  19. S. Gannot and A. Yeredor, Springer Handbook of Speech Processing and Speech Communication. New York: Springer-Verlag, 2007, ch. The Kalman filter.
  20. S. Gannot, Speech Enhancement. Springer, 2005, ch. Application of the Kalman Filter in the Estimate-Maximize (EM) Framework, pp. 161–198.